A new procedure for the classification of lower case
English language characters is presented in this work . The
character image is binarised and the binary image is
further grouped into sixteen smaller areas ,called Cells .
Each cell is assigned a name depending upon the contour present in the cell and occupancy of the image contour in the cell. A data reduction procedure called Filtering is adopted to eliminate undesirable redundant information for
reducing complexity during further processing steps .
The filtered data is fed into a primitive extractor where
extraction of primitives is done .
Syntactic methods are employed for the classification of
the character . A decision tree is used for the interaction of the various components in the scheme . 1ike the
primitive extraction and character recognition. A character is recognized by the primitive by primitive construction
of its description . Openended inventories are used
for including variants of the characters and also adding
new members to the general class . Computer implementation
of the proposal is discussed at the end using handwritten
character samples . Results are analyzed and suggestions
for future studies are made. The advantages of the proposal
are discussed in detail .

Description:

Department of Electronics, Cochin
University Of Science And Technology